Evidence map›Paper›PMID 39271760›Full record

ArticleScientific reports2024

Mapping domains of early life determinants of future multimorbidity across three UK longitudinal cohort studies.

S Stannard, A Berrington, S D S Fraser, S Paranjothy, R B Hoyle, R K Owen, A Akbari, M Shiranirad, R Chiovoloni, N A Alwan

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

S StannardFaculty of Medicine, School of Primary Care, Population Sciences and Medical Education, University of Southampton, Southampton, UK. S.J.Stannard@soton.ac.uk.
A BerringtonSchool of Economic, Social and Political Sciences, University of Southampton, Southampton, UK.
S D S FraserFaculty of Medicine, School of Primary Care, Population Sciences and Medical Education, University of Southampton, Southampton, UK.
S ParanjothySchool of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK.
R B HoyleSchool of Mathematical Sciences, University of Southampton, Southampton, UK.
R K OwenPopulation Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University, Swansea, UK.
A AkbariPopulation Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University, Swansea, UK.
M ShiraniradSchool of Mathematical Sciences, University of Southampton, Southampton, UK.
R ChiovoloniPopulation Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University, Swansea, UK.
N A AlwanFaculty of Medicine, School of Primary Care, Population Sciences and Medical Education, University of Southampton, Southampton, UK.

Funding

National Institute for Health Research NIHR203988
6 · The paper itself

Abstract

Many studies use a reductionist approach to isolate the influence of one factor in childhood on multimorbidity rather than consider the combined effect of wider determinants. We explored how potential multiple early life determinants of multimorbidity can be characterised across three UK cohort studies. We used the National Child Development Study (NCDS), the 1970 British Cohort Study (BCS70), and the Aberdeen Children of the 1950s Study (ACONF) to identified early life variables that fit into 12 conceptualised domains of early life determinants of multimorbidity. Variables were assigned into 12 domains; principal component analysis reduced the dimensionality of the data and structured variables into subgroups. The data audit identified 7 domains in ACONF, 10 domains in NCDS and 12 domains in BCS70. Dominant components included maternal fertility histories within the prenatal, antenatal and birth domain, long-term illnesses within the child health domain, educational ability within the child education and health literacy domain, ethnicity within the demography domain, parental health behaviours within the transgenerational domain, housing within the socioeconomic domain and parental-child interactions within the parental-family domain. We demonstrated that if multiple large scale longitudinal studies are used, there is enough data available for researchers to consider conceptualising early life risk factors of multimorbidity across groups or domains. Such conceptualisation can help challenge the existing understanding of disease aetiology and develop new ideas for prevention of multimorbidity.

Indexed as

MultimorbidityAdolescentAdultChildChild, PreschoolFemaleHumansLongitudinal StudiesMaleRisk FactorsSocioeconomic FactorsUnited Kingdom

Identifiers

PMID39271760
PMCPMC11399113

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.